Moodle LMS Integration with Amazon Alexa: A Practical Experience

The frequency of interaction between teachers and students through Learning Management Systems (LMSs) is continuously rising. However, recent studies highlight the challenges presented in current LMSs to meet the specific needs of the student, regarding usability and learnability. With the motivatio...

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Detalles Bibliográficos
Autores: Ochoa Orihuel, Javier, Marticorena Sánchez, Raúl, Sáiz Manzanares, María Consuelo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Burgos (UBU)
Repositorio:Repositorio Institucional de la Universidad de Burgos (RIUBU)
OAI Identifier:oai:riubu.ubu.es:10259/6250
Acceso en línea:http://hdl.handle.net/10259/6250
Access Level:acceso abierto
Palabra clave:Moodle LMS
Amazon Alexa
Education
e-learning
Intelligent personal assistant
Voice-content
Usability
Informática
Enseñanza
Computer science
Teaching
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spelling Moodle LMS Integration with Amazon Alexa: A Practical ExperienceOchoa Orihuel, JavierMarticorena Sánchez, RaúlSáiz Manzanares, María ConsueloMoodle LMSAmazon AlexaEducatione-learningIntelligent personal assistantVoice-contentUsabilityInformáticaEnseñanzaComputer scienceTeachingThe frequency of interaction between teachers and students through Learning Management Systems (LMSs) is continuously rising. However, recent studies highlight the challenges presented in current LMSs to meet the specific needs of the student, regarding usability and learnability. With the motivation to support the research of effectiveness when using a Voice User Interface (VUI) for education, this paper presents the work done (RQ1) to build the basic architecture for an Alexa skill for educational purposes, including its integration with Moodle, and (RQ2) to establish whether Moodle currently provides the necessary tools for voice-content creation for develop voice-first applications, aiming to provide new scientific insight to help researchers on future works of similar characteristics. As a result of this work, we provide guidelines for the architecture of an Alexa skill application integrated with Moodle through safe protocols, such as Alexa’s Account Linking Web Service, while our findings ratify the need for additional tooling within Moodle platform for voice-content creation in order to create an appealing voice experience, with the capabilities to process Moodle data structures and produce sensible sentences that can be understood by users when spoken by a voice device.Vice-Rectorate of Teaching and Research Staff, the Vice-Rectorate for Research and Knowledge Transfer, 2020, at the University of Burgos (Spain).MDPI202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10259/6250reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)instname:Universidad de Burgos (UBU)InglésApplied Sciences. 2020, V. 10, n. 19, 6859https://doi.org/10.3390/app10196859Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riubu.ubu.es:10259/62502026-05-28T07:56:11Z
dc.title.none.fl_str_mv Moodle LMS Integration with Amazon Alexa: A Practical Experience
title Moodle LMS Integration with Amazon Alexa: A Practical Experience
spellingShingle Moodle LMS Integration with Amazon Alexa: A Practical Experience
Ochoa Orihuel, Javier
Moodle LMS
Amazon Alexa
Education
e-learning
Intelligent personal assistant
Voice-content
Usability
Informática
Enseñanza
Computer science
Teaching
title_short Moodle LMS Integration with Amazon Alexa: A Practical Experience
title_full Moodle LMS Integration with Amazon Alexa: A Practical Experience
title_fullStr Moodle LMS Integration with Amazon Alexa: A Practical Experience
title_full_unstemmed Moodle LMS Integration with Amazon Alexa: A Practical Experience
title_sort Moodle LMS Integration with Amazon Alexa: A Practical Experience
dc.creator.none.fl_str_mv Ochoa Orihuel, Javier
Marticorena Sánchez, Raúl
Sáiz Manzanares, María Consuelo
author Ochoa Orihuel, Javier
author_facet Ochoa Orihuel, Javier
Marticorena Sánchez, Raúl
Sáiz Manzanares, María Consuelo
author_role author
author2 Marticorena Sánchez, Raúl
Sáiz Manzanares, María Consuelo
author2_role author
author
dc.subject.none.fl_str_mv Moodle LMS
Amazon Alexa
Education
e-learning
Intelligent personal assistant
Voice-content
Usability
Informática
Enseñanza
Computer science
Teaching
topic Moodle LMS
Amazon Alexa
Education
e-learning
Intelligent personal assistant
Voice-content
Usability
Informática
Enseñanza
Computer science
Teaching
description The frequency of interaction between teachers and students through Learning Management Systems (LMSs) is continuously rising. However, recent studies highlight the challenges presented in current LMSs to meet the specific needs of the student, regarding usability and learnability. With the motivation to support the research of effectiveness when using a Voice User Interface (VUI) for education, this paper presents the work done (RQ1) to build the basic architecture for an Alexa skill for educational purposes, including its integration with Moodle, and (RQ2) to establish whether Moodle currently provides the necessary tools for voice-content creation for develop voice-first applications, aiming to provide new scientific insight to help researchers on future works of similar characteristics. As a result of this work, we provide guidelines for the architecture of an Alexa skill application integrated with Moodle through safe protocols, such as Alexa’s Account Linking Web Service, while our findings ratify the need for additional tooling within Moodle platform for voice-content creation in order to create an appealing voice experience, with the capabilities to process Moodle data structures and produce sensible sentences that can be understood by users when spoken by a voice device.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10259/6250
url http://hdl.handle.net/10259/6250
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Applied Sciences. 2020, V. 10, n. 19, 6859
https://doi.org/10.3390/app10196859
dc.rights.none.fl_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname:Universidad de Burgos (UBU)
instname_str Universidad de Burgos (UBU)
reponame_str Repositorio Institucional de la Universidad de Burgos (RIUBU)
collection Repositorio Institucional de la Universidad de Burgos (RIUBU)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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